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Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study

AIMS: Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are main causes of dyspnoea, and echocardiography and spirometry are essential investigations for these diagnoses. Our aim was to determine the prevalence of HF and COPD in a general population, also how the diseases may be id...

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Autores principales: Melbye, Hasse, Stylidis, Michael, Solis, Juan Carlos Aviles, Averina, Maria, Schirmer, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754893/
https://www.ncbi.nlm.nih.gov/pubmed/33025768
http://dx.doi.org/10.1002/ehf2.13035
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author Melbye, Hasse
Stylidis, Michael
Solis, Juan Carlos Aviles
Averina, Maria
Schirmer, Henrik
author_facet Melbye, Hasse
Stylidis, Michael
Solis, Juan Carlos Aviles
Averina, Maria
Schirmer, Henrik
author_sort Melbye, Hasse
collection PubMed
description AIMS: Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are main causes of dyspnoea, and echocardiography and spirometry are essential investigations for these diagnoses. Our aim was to determine the prevalence of HF and COPD in a general population, also how the diseases may be identified, and to what extent their clinical characteristics differ. METHODS AND RESULTS: In the seventh survey of Tromsø study (2015–16), subjects aged 40 years or more were examined with echocardiography, spirometry, lung sound recordings, questionnaires, including the modified Medical Research Council (mMRC) questionnaire on dyspnoea, and N‐terminal pro‐brain natriuretic peptide analysis. A diagnosis of HF (HF with reduced ejection fraction, HF with mid‐range ejection fraction, or HF with preserved ejection fraction) or COPD was established according to current guidelines. Predictors of HF and COPD were evaluated by logistic regression and receiver operating characteristic curve analysis. A total of 7110 participants could be evaluated for COPD, 1624 for HF, and 1538 for both diseases. Age‐standardized prevalence of HF was 6.8% for women and 6.1% for men; the respective figures for COPD were 5.2% and 5.1%. Among the 1538 evaluated for both diseases, 139 subjects fulfilled the HF criteria, but only 17.1% reported to have the disease. Of those fulfilling the COPD criteria, 31.6% reported to have the disease. Shortness of breath at exertion was a frequent finding in HF; 59% of those with mMRC ≥2 had HF, while such shortness of breath was found in 24% among those with COPD. Reporting mMRC ≥2 had an odds ratio for HF of 19.5 (95% confidence interval 11.3–33.7), whereas the odds ratio for COPD was 6.3 (95% confidence interval 3.5–11.6). Current smoking was the strongest predictor of COPD but did not predict HF. Basal inspiratory crackles were significant predictors of HF in multivariable analysis. Among the subtypes of HF, an age <70 years was most frequently found in HF with reduced ejection fraction, in 51.7%. Clinical scores based on the predictive value in multivariable analysis of history, symptoms, and signs predicted HF and COPD with areas under the curve of 0.833 and 0.829, respectively. CONCLUSIONS: Study participants with HF and COPD were in most cases not aware of their condition. In general practice, when an elderly patient present with shortness of breath, both diseases should be considered. Previous cardiovascular disease points at HF, while a history of smoking points at COPD. The threshold should be low for ordering echocardiography or spirometry for verifying the suspected cause of dyspnoea.
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spelling pubmed-77548932020-12-23 Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study Melbye, Hasse Stylidis, Michael Solis, Juan Carlos Aviles Averina, Maria Schirmer, Henrik ESC Heart Fail Original Research Articles AIMS: Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are main causes of dyspnoea, and echocardiography and spirometry are essential investigations for these diagnoses. Our aim was to determine the prevalence of HF and COPD in a general population, also how the diseases may be identified, and to what extent their clinical characteristics differ. METHODS AND RESULTS: In the seventh survey of Tromsø study (2015–16), subjects aged 40 years or more were examined with echocardiography, spirometry, lung sound recordings, questionnaires, including the modified Medical Research Council (mMRC) questionnaire on dyspnoea, and N‐terminal pro‐brain natriuretic peptide analysis. A diagnosis of HF (HF with reduced ejection fraction, HF with mid‐range ejection fraction, or HF with preserved ejection fraction) or COPD was established according to current guidelines. Predictors of HF and COPD were evaluated by logistic regression and receiver operating characteristic curve analysis. A total of 7110 participants could be evaluated for COPD, 1624 for HF, and 1538 for both diseases. Age‐standardized prevalence of HF was 6.8% for women and 6.1% for men; the respective figures for COPD were 5.2% and 5.1%. Among the 1538 evaluated for both diseases, 139 subjects fulfilled the HF criteria, but only 17.1% reported to have the disease. Of those fulfilling the COPD criteria, 31.6% reported to have the disease. Shortness of breath at exertion was a frequent finding in HF; 59% of those with mMRC ≥2 had HF, while such shortness of breath was found in 24% among those with COPD. Reporting mMRC ≥2 had an odds ratio for HF of 19.5 (95% confidence interval 11.3–33.7), whereas the odds ratio for COPD was 6.3 (95% confidence interval 3.5–11.6). Current smoking was the strongest predictor of COPD but did not predict HF. Basal inspiratory crackles were significant predictors of HF in multivariable analysis. Among the subtypes of HF, an age <70 years was most frequently found in HF with reduced ejection fraction, in 51.7%. Clinical scores based on the predictive value in multivariable analysis of history, symptoms, and signs predicted HF and COPD with areas under the curve of 0.833 and 0.829, respectively. CONCLUSIONS: Study participants with HF and COPD were in most cases not aware of their condition. In general practice, when an elderly patient present with shortness of breath, both diseases should be considered. Previous cardiovascular disease points at HF, while a history of smoking points at COPD. The threshold should be low for ordering echocardiography or spirometry for verifying the suspected cause of dyspnoea. John Wiley and Sons Inc. 2020-10-07 /pmc/articles/PMC7754893/ /pubmed/33025768 http://dx.doi.org/10.1002/ehf2.13035 Text en © 2020 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research Articles
Melbye, Hasse
Stylidis, Michael
Solis, Juan Carlos Aviles
Averina, Maria
Schirmer, Henrik
Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study
title Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study
title_full Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study
title_fullStr Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study
title_full_unstemmed Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study
title_short Prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the Tromsø study
title_sort prediction of chronic heart failure and chronic obstructive pulmonary disease in a general population: the tromsø study
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754893/
https://www.ncbi.nlm.nih.gov/pubmed/33025768
http://dx.doi.org/10.1002/ehf2.13035
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